Question Discussion & Solution

🔑 Key Points

• Denormalization is the process of intentionally adding redundant data to a previously normalized database.
• It is typically performed to improve query performance by reducing the number of complex joins required to retrieve data.
• This technique is often used in data warehousing or applications where read operations heavily outweigh write operations.
• While it can boost performance, it also reintroduces the risk of data anomalies, so it must be carefully considered and managed.

📄 Additional Information

• The goal of normalization is to reduce redundancy and improve data integrity, while denormalization sacrifices some integrity for performance gains.
• Common denormalization techniques include adding redundant columns, creating summary tables, or merging tables.
• It is a strategic decision made after careful analysis of performance bottlenecks and data usage patterns.